Push-Based ReactivityIn push-based reactivity, when a node updates, it notifies (and updates) all of its dependents. We can visualise this as the update being pushed down the chain of dependencies, until it reaches the final node to be updated.
To compete, data companies arrange things so that they will always have workers on call while preserving their freedom to drop them at a moment’s notice. “Every vendor is going to have some kind of setup whereby they don’t really make promises to people,” says a senior employee of a major data company. The companies rarely have much notice of these shifts themselves, sometimes because the AI developers aren’t sure exactly what data they need in the first place, other times because they are shopping around for the best deal. “They want to keep us in the dark,” the employee continues, “so we inevitably keep the contributors in the dark, then a purchase falls through and you have a thousand people you’ve trained and formed a relationship with just saying, like, ‘What the fuck? Why isn’t there work?’ It’s a horrible feeling from an operator’s perspective, too, but obviously it’s way worse for them.”
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for p in by_score {
== shift0(4, shift0(3, shift0(1, App("f", [Var(0), Var(1), Var(2)]))))